no code implementations • 23 May 2018 • Trong Nghia Hoang, Quang Minh Hoang, Kian Hsiang Low, Jonathan How
Distributed machine learning (ML) is a modern computation paradigm that divides its workload into independent tasks that can be simultaneously achieved by multiple machines (i. e., agents) for better scalability.
no code implementations • 17 Oct 2017 • Trong Nghia Hoang, Yuchen Xiao, Kavinayan Sivakumar, Christopher Amato, Jonathan How
The practicality of existing works addressing this challenge is limited to only small-scale synchronous decision-making scenarios or a single agent planning its best response against a single adversary with fixed, procedurally characterized strategies.
no code implementations • 26 Jul 2017 • Trevor Campbell, Brian Kulis, Jonathan How
Bayesian nonparametrics are a class of probabilistic models in which the model size is inferred from data.
2 code implementations • 19 Apr 2017 • Beipeng Mu, Shih-Yuan Liu, Liam Paull, John Leonard, Jonathan How
The \textit{data association} and \textit{simultaneous localization and mapping} (SLAM) problems are, individually, well-studied in the literature.
no code implementations • 26 Sep 2013 • Alborz Geramifard, Thomas J. Walsh, Nicholas Roy, Jonathan How
Matching pursuit (MP) methods are a promising class of feature construction algorithms for value function approximation.